A Coarse-Grained Model for Polyphenylene ... - ACS Publications

Technische UniVersität Darmstadt, Petersenstrasse 20, D-64287 Darmstadt, Germany, and. Dipartimento di Chimica “G. Ciamician”, UniVersita` di Bologna,...
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Macromolecules 2007, 40, 7044-7055

A Coarse-Grained Model for Polyphenylene Dendrimers: Switching and Backfolding of Planar Three-Fold Core Dendrimers Paola Carbone,*,† Fabrizia Negri,‡ and Florian Mu1 ller-Plathe† Technische UniVersita¨t Darmstadt, Petersenstrasse 20, D-64287 Darmstadt, Germany, and Dipartimento di Chimica “G. Ciamician”, UniVersita` di Bologna, Via F.Selmi 2, 40126 Bologna, Italy ReceiVed May 2, 2007; ReVised Manuscript ReceiVed June 27, 2007

ABSTRACT: In this paper, we present a mesoscopic model for melt of polyphenylene dendrimers. The coarsegraining force field is built on the basis of the distribution functions derived from atomistic simulations, and thus it takes into account the chemical details of the system. Owing to the reduced number of particles, simulations of melts longer than 0.1 µs for dendrimer generation up to the fourth have been carried out to investigate both bulk and single molecule properties. In the bulk, it has been shown that these dendrimers do not acquire orientational order. Single molecule geometrical analysis has been performed by computing the radius of gyration, hydrodynamic radius, and small-angle neutron scattering profile. All the computed parameters compare favorably with experimental data and with previous atomistic simulations. It is concluded, in agreement with previous atomistic studies, that polyphenylene dendrimers present a substantially rigid structure that does not allowed for a remarkable backfolding even in the melt phase. Interestingly, the switching between a collapsed and open global shape found in previously isolated-molecule atomistic simulations occurs also in the melt phase.

1. Introduction Dendrimers are a special class of branched polymers characterized by a multifunctional core from which relatively short chains (called branches or dendrons) emanate. Each branch end is characterized by a specific functional group which, reacting with another “monomer”, builds the new generation. The use of several chemical groups to functionalize the chain ends and the nearly full control over the synthetic process make this class of macromolecules suitable for the design of novel nanostructured materials and for several possible applications.1 The perfectly branched, monodisperse structure of dendrimers makes them valuable model compounds for studying fundamental electrochemical2 and photophysical processes,3 and, depending on their chemical structure, they can be important building blocks of supramolecular chemistry.4 Several applications have been proposed for dendrimers, and in all cases the flexibility of the dendrons plays a fundamental role. The understanding of the molecular structure of dendrimers in solution or bulk represents one of the most important prerequisites for their controlled designed. Particular attention has to be devoted to the end group distribution within the dendrimer molecule, the intramolecular conformational changes and their time scale, the intermolecular packing and the presence and accessibility of intra- and inter dendrimer cavities. A new class of dendritic systems, composed only of carbon and hydrogen atoms, has been recently synthesized.5 Starting from polyfunctional central building blocks, a generation-bygeneration buildup of structurally defined, highly branched polyphenylene dendrimers (PDs) has become possible.6,7 Among other uses, these dendrimers are employed as precursors in the synthesis of well-defined polycyclic aromatic hydrocarbons (PAHs), from which more complex supramolecular structures, such as liquid crystals, can be obtained.8,9 Due to their semirigid framework and very dense intramolecular packing, the mono* Corresponding author. E-mail: [email protected]. † Technische Universita ¨ t Darmstadt. ‡ Dipartimento di Chimica “G. Ciamician”, Universita ` di Bologna.

disperse PDs are of interest with respect to the controlled design of shape-invariant nanoparticles.10 Several theoretical approaches are used to describe dendrimers, explaining at the molecular scale the macroscopically observed properties,11 and most of them, not surprisingly, are similar to those used in polymer physics. They include the following: (i) analytical or continuum methods focused on finding principles of universality, in some well-defined limit, that permit the general description of the system regardless of the microscopic details;12 (ii) computational methods on simplified systems that describe dendrimer systems with a specific shape and topology but without chemical details;13 (iii) computational methods at the atomistic level. Of the latter type Brownian dynamics (BD),14 Monte Carlo (MC),15 and molecular dynamics (MD)16 simulations are intensively used. The inclusion of the chemical details in the simulation of dendrimer solutions or melts costs in term of computer time because the system size easily exceeds 20 000 atoms. Despite this, a considerable number of atomistic MD simulations were carried out on different dendrimers in dilute solutions, but only one on the amorphous bulk state.17 A useful compromise for a computational study of dendrimers would be a coarse-grained model which reduces the degrees of freedom of the system, while taking into account the chemical identity. No attempt has yet been made in this direction, to the best of our knowledge. In view of the polymeric nature of dendrimers, a coarse-grained model, as for polymers, is the natural choice. Recently, a method to adjust coarse-grained force fields to a specific system on various length scales has been developed. These mesoscale models have been applied to a large variety polymers with very good results.18 They reproduce very well the structural properties of the melt; moreover, a suitable back-mapping procedure permits to reintroduce the atomistic details into the model, in order to obtain relaxed melts of high molecular weight polymers.19-21 Using such a method, long time molecular dynamics simulations on dilute solutions and amorphous bulks of high-generation dendrimers should be feasible.

10.1021/ma071001f CCC: $37.00 © 2007 American Chemical Society Published on Web 08/16/2007

Macromolecules, Vol. 40, No. 19, 2007

Polyphenylene Dendrimers 7045

Figure 1. Atomistic and coarse-grained representation of the first and second generation of polyphenylene dendrimer. The black points represent the center of mass of the beads. On the left side of the arrow, the dashed and dotted circles correspond respectively to beads of type A and type B.

Recently, molecular mechanics and molecular dynamics calculations have been reported to study the nature of stable conformers and the shape persistence of monodisperse PDs based on different cores.22-24 In particular extended molecular dynamics (MD) investigations studied the shape persistence of isolated polyphenylene dendrimers of first (G1) and second (G2) generation with a planar core formed by a 1,3,5-trisubstituted benzene ring (Figure 1). These allowed us to make a general classification of the conformations assumed by the three dendrimer branches with respect to the planar core.24 These studies found a direct correlation among the dendrimer core conformations and the global shape of the dendrimers, and proved that, depending on the temperature, the G2 dendrimers oscillate between two global shape states: open and collapsed. The MD simulations show that at 80 K G1 and G2 dendrimers conserve their initial shape for several nanoseconds, while, at room temperature for the G2, a reversible oscillation among two states occurs. The presence of this “switching” and a structural characterization of higher generation of PDs in the melt phase can be conveniently studied via coarse-grained simulations. In this paper, we develop a coarse-grained model for PDs in the melt phase. The coarse-grained force field is built up starting from atomistic simulations (employing the same force field of ref 24) of a bulk system of G2 PDs so that it implicitly takes into account the chemical details of the system. We show the results of several coarse-grained molecular dynamics (CG-MD) simulations of melts of PDs from generation 2 until generation 4 (G4), performed for times longer than 0.1 µs. Particular attention is paid to the analysis of the conformation and general shape of individual molecules in the bulk environment compared with the results found for the isolated molecule and with the available experimental data. 2. Coarse-Grained Model and Mesoscopic Force Field Development The rigidity of the system and the approximate sphericity of the subunits allow us to collect the atoms in beads of quite large

dimension, compared to typical coarse-graining schemes for linear polymers. In Figure 1, a schematic representation of the mapping scheme is depicted. As the only relevant degrees of freedom involve the bonds connecting the tetrasubstituted phenyl rings, the natural choice is to define a bead, which contains the entire repeat unit, placed at the center of mass. In this way, only one type of bead (called A) is necessary to build the model for the G1 dendrimers, while for the G2 two bead types (the inner one is again of type A and the outer one is called B) are used. To develop the force field for the coarse-grained model, we follow the procedure detailed in previous papers.19,25 Here, we only summarize the main steps. From the atomistic simulations of G2 PDs the probability distributions of the two types of bond (A-A and A-B) and of the three different types of angles (A-A-A, B-A-B, and B-A-A) are obtained, and subsequently fitted with a suitable number of Gaussian functions (see Figure 2). The bond and angle distributions are then Boltzmann-inverted to give the coarse-grained potential energy functions for these interactions.19 In Tables 1 and 2, the Gaussian parameters for bond and angle types are reported. Moving from the second generation to higher generations the number of bond types becomes three (A-A, A-B, and B-B) and a further angle type (B-B-B) is needed. Because of the comparable chemical structure of the beads A and B and to the high symmetry of the coarse-grained structure, we use for the new bonds (B-B) the same parameters as for the A-B stretching and for the angle B-B-B the parameters B-A-B. As in other cases, torsional interactions have been omitted, while the nonbonded interactions have been parametrized using iterative Boltzmann inversion starting from the atomistic radial distribution functions. The G2 dendrimers present three (A-A, A-B, and B-B) types of nonbonded interactions. The potentials of mean force (F(r)) for these interactions have been obtained by Boltzmann inverting the corresponding target radial distribution functions from atomistic simulations (RDFtarget).

F(r) ) -kBT ln RDFtarget(r)

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Macromolecules, Vol. 40, No. 19, 2007

Figure 2. Histogram of A-A and A-B bond lengths (top part), and bending angles B-A-B and A-A-B (bottom part), of second generation dendrimers extracted from atomistic (solid line) and coarse-grained (dashed line) simulations. Table 1. Gaussian Parameters for the Bond Distribution for P(r) ) n Ai/wixπ/2 exp(-2(r - li)2/wi2) ∑ i)1 G2 n

i

Ai

wi [nm]

li [nm]

A-A

bond type

2

A-B; B-B

1

1 2 1

0.64 0.32 1.00

0.062 0.028 0.023

0.708 0.725 0.866

Table 2. Gaussian Parameters for the Angle Distribution for P(θ) ) n Ai/wi xπ/2 exp(-2(θ - θi)2/wi2) ∑ i)1 G2 n

i

Ai

wi [deg]

θi [deg]

A-A-A

3

B-A-B; B-B-B

5

A-A-B

5

1 2 3 1 2 3 4 5 1 2 3 4 5

0.76 0.48 0.04 0.11 0.07 0.68 0.09 0.04 0.11 0.04 0.16 0.46 0.12

7.5 3.9 2.2 7.6 4.7 19.5 5.7 4.4 9.0 8.42 8.48 19.5 13.7

58.3 61.4 67.4 36.22 47.8 59.3 69.6 81.1 85.0 98.4 135.4 158.8 121.3

angle type

These free energies cannot be used directly as potentials because they already contain the cooperative many-body effects arising from the packing of particles in material. However, they can be used as initial guesses V0(r) in an iteration process, which modifies the potential of mean force to obtain the effective nonbonded potentials.

Vi+1(r) ) Vi(r) + kBT ln

RDFi(r) RDFtarget(r)

The tabulated numerical potentials are iterated until they yield the target RDFs from the atomistic reference simulations. In practice, a small number of MD simulations at constant temperature and density conditions (for the details, see the

computation details section) are necessary to converge the coarse-grained RDFs to the corresponding target RDFs. This mapping scheme leads to beads of large radius (∼0.66 nm), and the corresponding RDFs are rather complicated. After a few iterations, however, convergence is reached and the force field reproduces satisfactorily the target RDFs; moreover, the pressure is quite close to the target one (∼18 atm instead of 1 atm). To remove this small discrepancy in the pressure, we reoptimize the system by adding to the potential a weak linear potential term ∆V(r) ) A(1 - r/rcutoff) to the attractive long range part of Vi(r). The pressure optimization, after a few cycles, gives a final pressure of 0.99 atm. Figure 3 shows the comparison among intermolecular pair correlation functions coming from the atomistic simulations (solid line) and those obtained with the coarse-grained models (empty circles). All pair interactions are in acceptable agreement with the target RDF, even if small discrepancies are evident. The inconsistency in the A-A interaction (Figure 3a), where the CG RDF is always below the atomistic RDF, is only an apparent one. This effect arises from the peculiar 3D-symmetry of dendrimers in contrast with linear polymer chains. Beads of type A are firmly located inside the dendrimer scaffold, and in the coarse-grain representation they are partially shielded from interactions with other molecules by beads of type B (“cage effect”). Moreover, the A-A nonbonded potential coming from the corresponding inverted RDF, is purely repulsive, so that the beads repel each others. The resulting coarse-grained RDF A-A is actually dominated to a large extent by A-B and B-B interactions, rather than A-A interactions. As a result it lies always below the target RDF within the cutoff radius (